Deep Neural Network-Based Intrusion Detection System through PCA

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Main parameters</td><td class="align_center">Value</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Criterion</td><td class="align_center">Entropy</td></tr><tr><td class="align_left">Splitter</td><td class="align_center">Best</td></tr><tr><td class="align_left">max_depth</td><td class="align_center">5</td></tr><tr><td class="align_left">random_state</td><td class="align_center">392</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Mathematical Problems in Engineering

tab6

Table 6

Table 6: Deep Neural Network-Based Intrusion Detection System through PCA 